Using prosodic and spectral characteristics for sleepiness detection. - Jarek Krajewski; Bernd J. Kröger (INTERSPEECH, 2007)

An Acoustic Framework for Detecting Fatigue in Speech Based Human-Computer-Interaction. - Jarek Krajewski; Rainer Wieland; Anton Batliner (ICCHP, 2008)

Multiple classifier applied on predicting microsleep from speech. - Jarek Krajewski; Anton Batliner; Rainer Wieland (ICPR, 2008)

Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence - A Pilot Study. - Jarek Krajewski; Anton Batliner; Silke Kessel (ICPR, 2010)

Detecting fatigue from steering behaviour applying continuous wavelet transform. - Jarek Krajewski; Martin Golz; Sebastian Schnieder; Thomas Schnupp; Christian Heinze; David Sommer (MB, 2010)

Applying nonlinear dynamics features for speech-based fatigue detection. - Jarek Krajewski; David Sommer; Thomas Schnupp; Tom Laufenberg; Christian Heinze; Martin Golz (MB, 2010)

Pattern recognition methods: a novel analysis for the pupillographic sleepiness test. - Jarek Krajewski; Thomas Schnupp; Sebastian Schnieder; David Sommer; Christian Heinze; Martin Golz (MB, 2010)

The INTERSPEECH 2011 Speaker State Challenge. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Florian Schiel; Jarek Krajewski (INTERSPEECH, 2011)

Video-based heart rate measurement from human faces. - Thomas Pursche; Jarek Krajewski; Reinhard Möller 001 (ICCE, 2012)

Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech. - Jarek Krajewski; Sebastian Schnieder; David Sommer; Anton Batliner; Björn W. Schuller (Neurocomputing, 2012)

The Voice of Leadership: Models and Performances of Automatic Analysis in Online Speeches. - Felix Weninger; Jarek Krajewski; Anton Batliner; Björn W. Schuller (IEEE Trans. Affect. Comput., 2012)

Sleepiness detection from speech by perceptual features. - Bilge Günsel; Mehmet Cenk Sezgin; Jarek Krajewski (ICASSP, 2013)

Workshop summary for the 3rd international audio/visual emotion challenge and workshop (AVEC'13). - Michel F. Valstar; Björn W. Schuller; Jarek Krajewski; Roddy Cowie; Maja Pantic (ACM Multimedia, 2013)

Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech. - Nicholas Cummins; Julien Epps; Vidhyasaharan Sethu; Jarek Krajewski (ICASSP, 2014)

Are men more sleepy than women or does it only look like - Automatic analysis of sleepy speech. - Florian Hönig; Anton Batliner; Tobias Bocklet; Georg Stemmer; Elmar Nöth; Sebastian Schnieder; Jarek Krajewski (ICASSP, 2014)

Probabilistic acoustic volume analysis for speech affected by depression. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; Jarek Krajewski (INTERSPEECH, 2014)

Automatic modelling of depressed speech: relevant features and relevance of gender. - Florian Hönig; Anton Batliner; Elmar Nöth; Sebastian Schnieder; Jarek Krajewski (INTERSPEECH, 2014)

AVEC 2014: the 4th international audio/visual emotion challenge and workshop. - Michel F. Valstar; Björn W. Schuller; Jarek Krajewski; Roddy Cowie; Maja Pantic (ACM Multimedia, 2014)

AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge. - Michel F. Valstar; Björn W. Schuller; Kirsty Smith; Timur R. Almaev; Florian Eyben; Jarek Krajewski; Roddy Cowie; Maja Pantic (AVEC@MM, 2014)

Introduction to the Special Issue on Broadening the View on Speaker Analysis. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Florian Schiel; Jarek Krajewski (Comput. Speech Lang., 2014)

Medium-term speaker states - A review on intoxication, sleepiness and the first challenge. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Florian Schiel; Jarek Krajewski; Felix Weninger; Florian Eyben (Comput. Speech Lang., 2014)

Speaker emotional state classification by DPM models with annealed SMC samplers. - Bilge Günsel; Ozgun Cirakman; Jarek Krajewski (EUSIPCO, 2015)

Weighted pairwise Gaussian likelihood regression for depression score prediction. - Nicholas Cummins; Julien Epps; Vidhyasaharan Sethu; Jarek Krajewski (ICASSP, 2015)

Relevance vector machine for depression prediction. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; Jarek Krajewski (INTERSPEECH, 2015)

Analysis of acoustic space variability in speech affected by depression. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; Sebastian Schnieder; Jarek Krajewski (Speech Commun., 2015)

A review of depression and suicide risk assessment using speech analysis. - Nicholas Cummins; Stefan Scherer; Jarek Krajewski; Sebastian Schnieder; Julien Epps; Thomas F. Quatieri (Speech Commun., 2015)

Medium term speaker state detection by perceptually masked spectral features. - Mehmet Cenk Sezgin; Bilge Günsel; Jarek Krajewski (Speech Commun., 2015)

"Listen, Follow me": The Transformational Leadership Corpus (TLC). - Chia-Chun Hsu; Jarek Krajewski; Jörg Felfe; Joachim Mrnka; Andre Wiggerich; Sebastian Schnieder (ITG Symposium on Speech Communication, 2016)

Large Sleepy Reading Corpus (LSRC): Applying Read Speech for Detecting Sleepiness. - Jarek Krajewski; Sebastian Schnieder; Christopher Monschau; Raphael Titt; David Sommer; Martin Golz (ITG Symposium on Speech Communication, 2016)

On the Diffusion Process for Heart Rate Estimation from Face Videos Under Realistic Conditions. - Christian S. Pilz; Jarek Krajewski; Vladimir Blazek (GCPR, 2017)

"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection. - Nicholas Cummins; Maximilian Schmitt; Shahin Amiriparian; Jarek Krajewski; Björn W. Schuller (EMBC, 2017)

Description of the Upper Respiratory Tract Infection Corpus (URTIC). - Jarek Krajewski; Sebastian Schnieder; Anton Batliner (INTERSPEECH, 2017)

The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Elika Bergelson; Jarek Krajewski; Christoph Janott; Andrei Amatuni; Marisa Casillas; Amanda Seidl; Melanie Soderstrom; Anne S. Warlaumont; Guillermo Hidalgo; et al. (INTERSPEECH, 2017)

Automatic Driver Sleepiness Detection using Wrapper-Based Acoustic Between-Groups, Within-Groups, and Individual Feature Selection. - Dara Pir; Theodore Brown; Jarek Krajewski (VEHITS, 2017)

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. - Zhao Ren; Nicholas Cummins; Jing Han 010; Sebastian Schnieder; Jarek Krajewski; Björn W. Schuller (ITG Symposium on Speech Communication, 2018)

Local Group Invariance for Heart Rate Estimation From Face Videos in the Wild. - Christian S. Pilz; Sebastian Zaunseder; Jarek Krajewski; Vladimir Blazek (CVPR Workshops, 2018)

Relevant Acoustic Group Features for Automatic Sleepiness Recognition. - Dara Pir; Jarek Krajewski (ICT4AWE, 2018)

Brute Force ECG Feature Extraction Applied on Discomfort Detection. - Guillermo Hidalgo Gadea; Annika Kreuder; Carsten Stahlschmidt; Sebastian Schnieder; Jarek Krajewski (ITIB, 2018)

The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. - Björn W. Schuller; Anton Batliner; Christian Bergler; Florian B. Pokorny; Jarek Krajewski; Margaret Cychosz; Ralf Vollmann; Sonja-Dana Roelen; Sebastian Schnieder; Elika Bergelson; Alejandrina Cristià; Amanda Seidl; et al. (INTERSPEECH, 2019)

Sleepiness detection on read speech using simple features. - Vincent P. Martin; Jean-Luc Rouas; Pierre Thivel; Jarek Krajewski (SpeD, 2019)

An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels. - Alice Baird; Nicholas Cummins; Sebastian Schnieder; Jarek Krajewski; Björn W. Schuller (INTERSPEECH, 2020)

Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; James R. Williamson; Thomas F. Quatieri; Jarek Krajewski (IEEE Trans. Affect. Comput., 2020)

Analysis and Classification of Cold Speech Using Variational Mode Decomposition. - Suman Deb; Samarendra Dandapat; Jarek Krajewski (IEEE Trans. Affect. Comput., 2020)

DeepVR: Konzeptuelle Grundlagen und Umsetzung eines Virtual Reality basierten Unterstützungssystems in der psychotherapeutischen Depressions-Behandlung. - Barbara Hemsen; André Wittenborn; Steffen Holsteg; André Karger; Sebastian Freitag; Philip Mildner; Jens Piesk; Dunja Storch; Jarek Krajewski; Sonja-Dana Roelen (MuC, 2021)

Screen Me, Smartphone! Using an AI-Screening Tool to Assist Underage Refugees in Recognizing Potential Traumatization. - Lisa Mühl; Aike C. Horstmann; André Wittenborn; Dunja Storch; Jarek Krajewski (MuC, 2021)

Automatic detection of short-term sleepiness state. Sequence-to-Sequence modelling with global attention mechanism. - Edward L. Campbell; Laura Docío Fernández; Carmen García-Mateo; André Wittenborn; Jarek Krajewski; Nicholas Cummins (SMM, 2022)

The Face of Affective Disorders. - Christian S. Pilz; Benjamin Clemens; Inka C. Hiss; Christoph Weiss; Ulrich Canzler; Jarek Krajewski; Ute Habel; Steffen Leonhardt (CoRR, 2022)

Important Preliminary Insights for Designing Successful Communication between a Robotic Learning Assistant and Children with Autism Spectrum Disorder in Germany. - Aike C. Horstmann; Lisa Mühl; Louisa Köppen; Maike Lindhaus; Dunja Storch; Monika Bühren; Hanns Rüdiger Röttgers; Jarek Krajewski (Robotics, 2022)

Detection of Common Cold from Speech Signals using Deep Neural Network. - Suman Deb; Pankaj Warule; Amrita Nair; Haider Sultan; Rahul Dash; Jarek Krajewski (Circuits Syst. Signal Process., 2023)

Sinusoidal model-based diagnosis of the common cold from the speech signal. - Pankaj Warule; Siba Prasad Mishra; Suman Deb; Jarek Krajewski (Biomed. Signal Process. Control., 2023)

Feasibility of unobtrusive camera-based heart rate extraction in a clinical interview scenario. - Christoph Weiss; Inka C. Hiss; Benjamin Clemens; Ute Habel; Ulrich Canzler; Jarek Krajewski; Steffen Leonhardt; Markus J. Lüken (Biomed. Signal Process. Control., 2024)

eVAS: A user-friendly electronic Visual Analogue Scale. - Philip Gouverneur; Frédéric Li; Luisa Luebke; Tibor M. Szikszay; Sonja-Dana Roelen; Jarek Krajewski; Kerstin Luedtke; Marcin Grzegorzek (Zenodo, 2025)

eVAS: A user-friendly electronic Visual Analogue Scale. - Philip Gouverneur; Frédéric Li; Luisa Luebke; Tibor M. Szikszay; Sonja-Dana Roelen; Jarek Krajewski; Kerstin Luedtke; Marcin Grzegorzek (J. Open Source Softw., 2025)